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Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling

BACKGROUND: Mixed valvular disease (MVD), mitral regurgitation (MR) from pre‐existing disease in conjunction with paravalvular leak (PVL) following transcatheter aortic valve replacement (TAVR), is one of the most important stimuli for left ventricle (LV) dysfunction, associated with cardiac mortali...

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Autores principales: Keshavarz‐Motamed, Zahra, Khodaei, Seyedvahid, Rikhtegar Nezami, Farhad, Amrute, Junedh M., Lee, Suk Joon, Brown, Jonathan, Ben‐Assa, Eyal, Garcia Camarero, Tamara, Ruano Calvo, Javier, Sellers, Stephanie, Blanke, Philipp, Leipsic, Jonathon, de la Torre Hernandez, Jose M., Edelman, Elazer R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335548/
https://www.ncbi.nlm.nih.gov/pubmed/32106747
http://dx.doi.org/10.1161/JAHA.119.015063
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author Keshavarz‐Motamed, Zahra
Khodaei, Seyedvahid
Rikhtegar Nezami, Farhad
Amrute, Junedh M.
Lee, Suk Joon
Brown, Jonathan
Ben‐Assa, Eyal
Garcia Camarero, Tamara
Ruano Calvo, Javier
Sellers, Stephanie
Blanke, Philipp
Leipsic, Jonathon
de la Torre Hernandez, Jose M.
Edelman, Elazer R.
author_facet Keshavarz‐Motamed, Zahra
Khodaei, Seyedvahid
Rikhtegar Nezami, Farhad
Amrute, Junedh M.
Lee, Suk Joon
Brown, Jonathan
Ben‐Assa, Eyal
Garcia Camarero, Tamara
Ruano Calvo, Javier
Sellers, Stephanie
Blanke, Philipp
Leipsic, Jonathon
de la Torre Hernandez, Jose M.
Edelman, Elazer R.
author_sort Keshavarz‐Motamed, Zahra
collection PubMed
description BACKGROUND: Mixed valvular disease (MVD), mitral regurgitation (MR) from pre‐existing disease in conjunction with paravalvular leak (PVL) following transcatheter aortic valve replacement (TAVR), is one of the most important stimuli for left ventricle (LV) dysfunction, associated with cardiac mortality. Despite the prevalence of MVD, the quantitative understanding of the interplay between pre‐existing MVD, PVL, LV, and post‐TAVR recovery is meager. METHODS AND RESULTS: We quantified the effects of MVD on valvular‐ventricular hemodynamics using an image‐based patient‐specific computational framework in 72 MVD patients. Doppler pressure was reduced by TAVR (mean, 77%; N=72; P<0.05), but it was not always accompanied by improvements in LV workload. TAVR had no effect on LV workload in 22 patients, and LV workload post‐TAVR significantly rose in 32 other patients. TAVR reduced LV workload in only 18 patients (25%). PVL significantly alters LV flow and increases shear stress on transcatheter aortic valve leaflets. It interacts with mitral inflow and elevates shear stresses on mitral valve and is one of the main contributors in worsening of MR post‐TAVR. MR worsened in 32 patients post‐TAVR and did not improve in 18 other patients. CONCLUSIONS: PVL limits the benefit of TAVR by increasing LV load and worsening of MR and heart failure. Post‐TAVR, most MVD patients (75% of N=72; P<0.05) showed no improvements or even worsening of LV workload, whereas the majority of patients with PVL, but without that pre‐existing MR condition (60% of N=48; P<0.05), showed improvements in LV workload. MR and its exacerbation by PVL may hinder the success of TAVR.
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spelling pubmed-73355482020-07-08 Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling Keshavarz‐Motamed, Zahra Khodaei, Seyedvahid Rikhtegar Nezami, Farhad Amrute, Junedh M. Lee, Suk Joon Brown, Jonathan Ben‐Assa, Eyal Garcia Camarero, Tamara Ruano Calvo, Javier Sellers, Stephanie Blanke, Philipp Leipsic, Jonathon de la Torre Hernandez, Jose M. Edelman, Elazer R. J Am Heart Assoc Original Research BACKGROUND: Mixed valvular disease (MVD), mitral regurgitation (MR) from pre‐existing disease in conjunction with paravalvular leak (PVL) following transcatheter aortic valve replacement (TAVR), is one of the most important stimuli for left ventricle (LV) dysfunction, associated with cardiac mortality. Despite the prevalence of MVD, the quantitative understanding of the interplay between pre‐existing MVD, PVL, LV, and post‐TAVR recovery is meager. METHODS AND RESULTS: We quantified the effects of MVD on valvular‐ventricular hemodynamics using an image‐based patient‐specific computational framework in 72 MVD patients. Doppler pressure was reduced by TAVR (mean, 77%; N=72; P<0.05), but it was not always accompanied by improvements in LV workload. TAVR had no effect on LV workload in 22 patients, and LV workload post‐TAVR significantly rose in 32 other patients. TAVR reduced LV workload in only 18 patients (25%). PVL significantly alters LV flow and increases shear stress on transcatheter aortic valve leaflets. It interacts with mitral inflow and elevates shear stresses on mitral valve and is one of the main contributors in worsening of MR post‐TAVR. MR worsened in 32 patients post‐TAVR and did not improve in 18 other patients. CONCLUSIONS: PVL limits the benefit of TAVR by increasing LV load and worsening of MR and heart failure. Post‐TAVR, most MVD patients (75% of N=72; P<0.05) showed no improvements or even worsening of LV workload, whereas the majority of patients with PVL, but without that pre‐existing MR condition (60% of N=48; P<0.05), showed improvements in LV workload. MR and its exacerbation by PVL may hinder the success of TAVR. John Wiley and Sons Inc. 2020-02-28 /pmc/articles/PMC7335548/ /pubmed/32106747 http://dx.doi.org/10.1161/JAHA.119.015063 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Keshavarz‐Motamed, Zahra
Khodaei, Seyedvahid
Rikhtegar Nezami, Farhad
Amrute, Junedh M.
Lee, Suk Joon
Brown, Jonathan
Ben‐Assa, Eyal
Garcia Camarero, Tamara
Ruano Calvo, Javier
Sellers, Stephanie
Blanke, Philipp
Leipsic, Jonathon
de la Torre Hernandez, Jose M.
Edelman, Elazer R.
Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title_full Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title_fullStr Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title_full_unstemmed Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title_short Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image‐Based Patient‐Specific In Silico Modeling
title_sort mixed valvular disease following transcatheter aortic valve replacement: quantification and systematic differentiation using clinical measurements and image‐based patient‐specific in silico modeling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335548/
https://www.ncbi.nlm.nih.gov/pubmed/32106747
http://dx.doi.org/10.1161/JAHA.119.015063
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